José María López

Buzz is an internal project developed for the capture, treatment, interpretation, and auto-categorization of information coming from different social networks and the correct intervention according to a series of intelligent algorithms in a completely autonomous way.

This project involves the following technologies:
• Angular for the front-end.
• Ruby on Rails for the core part of the back-end.
• Elasticsearch for the semantically analyzed data.
• Python scripting to load information from social networks APIs.
• PySpark with Scikit-learn and SciPy libraries to interpret and auto-categorize the data.
• AWS EC2 and AWS lambda to build the project infrastructure and define the autoscaling rules.
• PostgreSQL as a general purpose database.
• Redis and Sidekiq as the caching system.
• RabbitMQ to manage the asynchronous tasks.
• Docker to containerize the application.

IADLearning is software that extends the capabilities of the learning management system (LMS) to offer students a personalized learning experience. IADLearning is based on the latest developments in educational tech where students have a leading role in their own growth process. It generates customized content recommendations depending on how the student interacts with the content of the course and also presents predictive learning metrics to the teachers in order to optimize the learning process.

The project is divided into the following areas:
• The front-end is completely developed using Angular as a framework in combination with an intensive use of D3.js to generate the interactive graphs for presenting the learning contents to the users.
• The main core of the back-end is developed in Ruby on Rails in combination with a module in Node.js for real-time communication.
• Different database systems are applied for different purposes: Neo4J (content graph data), MongoDB (general purpose), Redis (cached information), Cassandra (extremely high-speed access data) and Elasticsearch (semantically related contents).
• PySpark processes with a high use of Scikit-learn and SciPy libraries to apply machine learning.

Bit is an internal application developed by "Bufete de Marketing" whose main objective is to serve as the main repository of marketing data and the central tool for the analytical department's daily work.

It automatically detects, imports, and correlates thousands of marketing metrics, stores historical data, presents auto-generated reports, and assists in all the analyst operations.

The project is developed using the following technologies:
• Angular for the front-end part.
• Ruby on Rails for the main core of the back-end part.
• Redis and Memcached as the caching system.
• PostgreSQL as the general purpose database.
• RabbitMQ as the queue management system for asynchronous tasks.
• AWS EC2 and AWS lambda to deploy the system architecture and defining the autoscaling rules.
• Docker to containerize the application.

This is the data center infrastructure management (DCIM) product suite, Concurrent Command, It's an easy-to-use, modular, vendor-neutral, and truly customisable DCIM solution that allows the user to manage all his/her data center facility and IT assets within a single framework—enabling the user to save money by reducing risk, delivering significant operational efficiencies, and cutting energy costs.

It was designed with scalability in mind, For that, the system manages hundreds of thousands of metrics every 15 seconds. This provides invaluable support to the business as the client increases the number of sites, devices, racks, servers, and virtual machines that they manage.

The platform was developed as a combination of a Ruby on Rails API and an Angular application on the front-side. Because the performance and connectivity were also one of the most important aspects, a lot of other protocols and technologies were also applied in the back-end part as C, Crystal, PostgreSQL, Python scripts and more. Furthermore, a prototype module was developed in WebGL to create a tridimensional user interface that was more intuitive for the user while interacting with the data center.

This project consisted of a migration and upgrade of an informational banking system for one of the most important banking groups in Spain.

Technologies: Informatica PowerCenter, Teradata, MicroStrategy, OracleDB

This research project focused on the implementation of a software system that supported learning Castilian (Spanish) for foreigners via the recording and subsequent phonetic quality assessment.

The whole process was raised from the implementation of an RIA (rich internet application) with Applet technology that provides the Java programming language. I also implemented a web server that housed the core application, all the media resources, and all the content that the didactic departments deemed necessary as lessons, levels, and similar.

An Android application to help the patients in following a Mediterranean diet and many associated services for buying reminders, fridge management, motivational messages, shopping lists, etc.

An iOS game consisting of a four-dimensional (three variable dimensions) puzzle.

Game Details
The board is formed by the union of a cube group in a three-dimensional space. The user can handle a ball that is sliding on the surface of the cubes and the goal is to go through all the cubes that make up the stage without repeating. The different aspect is when the ball slides to a position where there is no cube then the whole scenario turns in the same direction and prevents the ball from falling and increases the complexity of the puzzle.

This app was developed as the final project for my web engineering master's degree. I received a mark of 10/10 (with honors). It wasn't published in the App Store due to the restrictive Spanish copyright policy for university content.

This project consists of the following parts:
• Objective-C app for interacting with the users.
• Cocos3D as the graphics library.
• Ruby on Rails API as the main core of the application.
• PostgreSQL as the general purpose database.

An Android application to assist the patients in following a Mediterranean diet along with a number of associated services such as buying reminders, fridge management, motivational messages, shopping list, etc.

This app was developed as the final project for my computer engineering bachelor's degree. I received a mark of 9.5/10. It wasn't published in the Play Store due to the restrictive Spanish copyright policy for university content.

This project consists of the following parts:
• Android application for interacting with the users.
• JavaEE API as the main core of the application.
• MySQL as the general purpose database.